Title | ||
---|---|---|
Reactive power optimization based on particle swarm optimization algorithm in 10kV distribution network |
Abstract | ||
---|---|---|
The optimization of reactive power compensation plays an important role in power system planning and designing. A mathematical model in the 10kV distribution network is established in this paper. Its objective function is the cost of investment in equipment of reactive power compensation and active power loss of the system should be the least. The node voltages beyond limited and the generator reactive power output beyond limited will be expressed in the way of penalty function. In this paper, particle swarm optimization will be used. Using PSO's characteristic of high convergence efficiency, the speed of reactive power optimization will be improved. Using the binary PSO, the algorithm can better adapt to solve the problem. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-21515-5_19 | ICSI (1) |
Keywords | Field | DocType |
particle swarm optimization,reactive power optimization,generator reactive power output,active power loss,distribution network,objective function,power system planning,binary pso,particle swarm optimization algorithm,penalty function,reactive power compensation | Convergence (routing),Particle swarm optimization,Mathematical optimization,Computer science,Control theory,Voltage,Algorithm,Electric power system,AC power,Multi-swarm optimization,Binary number,Penalty method | Conference |
Volume | ISSN | Citations |
6728 | 0302-9743 | 1 |
PageRank | References | Authors |
0.43 | 1 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chao Wang | 1 | 1 | 0.77 |
Gang Yao | 2 | 31 | 5.78 |
Xin Wang | 3 | 5 | 3.76 |
Yihui Zheng | 4 | 1 | 1.79 |
Lidan Zhou | 5 | 31 | 5.78 |
Qingshan Xu | 6 | 2 | 1.16 |
Xinyuan Liang | 7 | 1 | 2.12 |